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Reduction-automaton, scalable way towards unifying computational hard problems #16

@GiggleLiu

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@GiggleLiu

Key players

  • Sub-agent (A)ctor automatically check the unimplemented issue, labelled by "todo" by sub-agent B, change label to "pending", implement, submit pr, check pr status every x-seconds until no more comments and all ci pass.
  • Sub-agent (R)eviewer manage the label healthy of issues and prs.
    • clarify issue and add todo label: detect if an issue is clear enough, if so, add "todo" label. If the issue is questionable, assign to an editor.
    • detect zombie issues: if an issue is "pending", without pr in one day, revert to "todo" if it is the first time, otherwise, assign to an editor.
    • check pr quality, if it is not reviewed, review it, add harsh test cases, check if the guidelines in Coding Rules - For AI agents to follow #3 are followed, if all comments are addressed, assign to an editor for a final review and merging.
  • A human editor board organized by community call, can merge pr, close issue and invite issue maker to community call.

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